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There has been a significant increase in flooding in the UK over the past ten years. During this time, Government policy has moved from investment in flood defences towards encouraging property owners to take responsibility for reducing the impact of flooding. One of the ways in which this can be achieved is for homeowners to adapt their properties to flood risk by implementing property level flood risk adaptation (PLFRA) measures. While there has been some attempt to develop an understanding of the benefits of such measures, these previous studies have their limitations in that the intangible benefits have not been fully considered. As such, there remains a need for further development of these studies towards developing a more comprehensive understanding of PLFRA measures. It is against this background the purpose of this paper is to present a conceptual cost benefit analysis (CBA) framework for PLFRA measure. This framework brings together the key parameters of the costs and benefits of adapting properties to flood risk including the intangible benefits, which have so far been overlooked in previous studies.

A critical review of the standard methods and existing CBA models of PLFRA measures was undertaken. A synthesis of this literature and the literature on the nature of flooding and measures to reduce and eliminate their impacts provides the basis for the development of a conceptual framework of the costs and benefits of PLFRA measures. Within the developed framework, particular emphasis is placed on the intangible impacts, as these have largely been excluded from previous studies in the domain of PLFRA measures.

The framework provides a systematic way of assessing the costs and benefits of PLFRA measures. A unique feature of the framework is the inclusion of intangible impacts, such as anxiety and ill health, which are known to be difficult to measure. The study proposes to implement one of the stated preference methods (SPM) of valuation to measure these impacts, known as the willingness to pay method, as part of a survey of homeowners. The inclusion of these intangible impacts provides the potential to develop a more comprehensive understanding of the benefit cost ratio (BCR) for different stakeholders. The newly developed CBA conceptual framework includes four principal components: the tangible benefits to insurers; the tangible benefits to the government; the tangible benefits to homeowners; and the intangible benefits to homeowners.

This tool offers the potential to support government policy concerned with increasing the uptake of PLFRA measures through increasing the information available to homeowners and thereby supporting the decision-making process.

Recently, the focus of UK and European flood risk management policy has been towards promoting the uptake of property level flood adaptation measures. Despite this focus, the take‐up of property level flood adaptation measures (both resilient and resistant) remains very low. One of the apparent barriers to uptake is the cost of installing such measures. This study aims to investigate the cost of adopting resilient reinstatement measures by considering a small number of actual properties that were flooded in Cockermouth during 2009.

Secondary data obtained from a loss adjusting company provides the basis for analysis. The data take into consideration the cost benefit of resilient repair, assuming the same properties were flooded again. The traditional reinstatement costs were established as the actual cost of putting the properties back in a like‐for‐like manner while resilient reinstatement costs were established by creating new resilient repair schedules based on recommended good practice.

The results of the study show that the percentage extra cost for resilient reinstatement over traditional repair cost ranged from 23 to 58 per cent with a mean of 34 per cent depending on the house type. However, while resilient repairs were found to be more expensive than traditional (i.e. like‐for‐like) methods, they were found to significantly reduce the repair costs assuming a subsequent flood were to take place. Resilient flood mitigation measures seem most promising and, given repeat flooding, will help in limiting the cost of repairs up to as much as 73 per cent for properties with a 20 per cent annual chance of flooding, which indicates that the up‐front investment would be recovered following a single subsequent flood event.

The uptake of resilient reinstatement among the floodplain property owners in the UK is very low and one of the reasons for the low uptake is lack of understanding of the cost and benefit of adopting such measures. While there have been previous studies towards investigating the costs of resilient reinstatement, it is believed that this is the first to use real claims data and information to analyse the tangible costs/benefits of resilient reinstatement.

This study aims to investigate the level of preparedness among property owners who had experienced flood damage to their properties in two cities in England following the summer floods of 2007. Flooding can have a variety of impacts on residential properties and businesses that may be unprepared and therefore vulnerable to both direct and indirect effects. Research suggests that the focus in analysis of damage to flood plain population (residential and commercial) tends to be on the direct tangible impacts, limiting their ability to recognize the true costs of flooding, thereby leading to unpreparedness to future flooding. Greater understanding of the level of preparedness against different types of flood impacts is likely to contribute towards increased knowledge of the likely resilience of residential and commercial property occupiers.

Primary data obtained through self-administered postal questionnaire survey of floodplain residential and commercial residents provide the basis for the research analysis and findings. The rationale behind choosing the locations for the research was based on the need to investigate areas where a sizeable number of residential and commercial properties were affected during the 2007 event, in this case, Sheffield and Wakefield in the northern part of England were chosen. The data collected were subjected to descriptive statistical analysis.

The result of the analysis revealed that non-structural measures have been implemented by more people when compared to other measures, which can be linked to the fact that non-structural measures, in most, cases do not have financial implication to the property owners. The uptake of the other measures (resistance and resilience) is very low. It can be concluded from the findings that the level of implementation of measures to reduce damage from potential future flooding among the flood plain residents is relatively low and mainly focussed towards reducing the direct effects of flooding.

The study argues that increased resilience can be sustainable only by developing integrated attitude towards risk reduction not only by enhancing coping strategy by reducing direct impacts of flooding but also equally focussing on indirect effects.

There have been previous studies towards investigating the impacts of flooding on residential and commercial property owners as a separate entity. It is believed that this is the first time in which both residential and commercial properties will be investigated together as one body of research.

The purpose of this study is to empirically examine how corruption impacts economic output growth in Nigeria. This is because of the recent trend in the level of corruption.

Using time series data ranging from 1995 to 2019, this study used the Johansen cointegration estimating approach and vector error correction mechanism to show an equilibrium relationship between output growth and other variables (oil revenue and corruption). To conduct the integration test, this study in the preliminary, used unit root test.

This study finds unidirectional and bidirectional causal relationships among variables. Contrary to a few studies, this study shows an equilibrium relationship between output growth and other variables (oil revenue and corruption). Thus, an increase in corruption at equilibrium would weaken output growth. Nonetheless, this study finds a gradual return of the deviation from the long-run stability over an arrangement of imperfect short-run adjustments. Based on the findings, to enhance economic growth, this study recommends zero tolerance for corruption. It also recommends that governments should further strengthen anti-corruption institutions and incorporate anti-corruption movements into decision-making processes.

This study adds to the literature by re-examining for the first time the relationship between corruption and economic growth in Nigeria. This study also deals with some econometrics issues which are found to be appropriate estimation to determine the equilibrium and stability in this study.

Guaranteed maximum price (GMP) contracts are becoming an increasingly popular contract solution; however, many projects experience higher levels of risk and exceed predetermined GMPs, failing to accomplish the main motive behind the concept. Thus, the study identified a risk management process for GMP projects.

The study adopted a quantitative approach consisting of three Delphi rounds. The collected data were analysed using statistical data analysis tools.

The study identified 17 highly significant risk factors in GMP projects and determined their levels of severity. Subsequently, risk allocation amongst the client, contractor and consultant and strategies to handle the most significant risk factors were determined. The study identified poorly defined scope and design changes as the most critical risks in GMP projects. Moreover, strategies such as clearly defining the project scope, preparing precise documentation, early involvement of the contractor and using a partnering approach can be deployed to reduce the risk in GMP projects. Each risk has to be assigned to the party who can best manage it, depending on its nature.

The study addresses the literature gap pertaining to risk management of GMP contracts by identifying its overall process, including the identification of significant risks based on the severity levels; risk allocation amongst the client, contractor and consultant; and identification of risk handling techniques suitable for each significant risk factor. The study contributes to the industry by identifying a systematic risk management process to implement GMP projects successfully within the stipulated time, cost and quality.

Despite the huge financial resources associated with oil, Nigeria has consistently recorded poor growth performance. Therefore, this study aims to examine how corruption and oil rent influence Nigeria’s economic performance during the 1996–2021 period.

Various estimation techniques were used. These include the bootstrap autoregressive distributed lag (ARDL) bounds-testing, dynamic ordinary least squares (DOLS), the fully modified OLS (FMOLS) and the canonical cointegration regression (CCR) estimators and the Toda–Yamamoto causality.

The bounds testing results provide evidence of a cointegrating relationship between the variables. In addition, the results of the ARDL, DOLS, CCR and FMOLS estimators demonstrate that oil rent and corruption have a significant positive impact on growth. Further, the results indicate that human capital and financial development enhance economic growth, whereas domestic investment and unemployment rates slow down long-term growth. Additionally, the causality test results illustrate the presence of a one-way causality from oil rent to economic growth and a bi-directional causal relationship between corruption and economic growth.

Existing studies focused on the effects of either oil rent or corruption on growth in Nigeria. Little attention has been paid to the exploration of how the rent from oil and the pervasiveness of corruption contribute to the performance of the Nigerian economy. Based on the outcome of this study, strategies and policies geared towards reducing oil dependence and the pervasiveness of corruption, enhancing human capital and financial development and reducing unemployment are recommended.

Rising energy costs and increasing environmental concerns are catalysts for introducing sustainable design features in buildings. Incorporating sustainable design features in commercial buildings cannot be overstated because it could confer benefits to the investor (owners) and occupants. This study aims to develop a model that could aid in the prediction of operation and maintenance (O&M) costs from the knowledge of building-design variables. There is little evidence that design variables influence the O&M costs of buildings. Therefore, this study investigates the relationship between design variables and O&M costs in commercial buildings with the intent of developing a cost model for estimating O&M costs at the early design phase.

The study was approached quantitatively using a survey strategy. Data for the study were obtained from 30 randomly selected commercial buildings in the CBD in Colombo, Sri Lanka. Pareto's 80/20 rule, correlation and regression analysis were performed on the data to prove the statistical relationships between the buildings' O&M costs and their design variables.

The study found that 12 significant O&M costs elements contribute to about 82% of total O&M costs. Repairs and decoration had a strong correlation with building shape. Furthermore, the regression analysis found that O&M costs values were primarily dependent on the building size (the gross floor area and height of the buildings). The gross floor area and height handled over 73% of the variance in the O&M costs of commercial buildings in Sri Lanka.

These findings are a useful insight into the principles for design economies that could contribute to more sustainable commercial buildings.

The property valuation process involves the property valuer expressing expertise in reaction to a client' instruction. However, there are instances where clients, driven by self-interest, impose their will to influence valuers into returning property valuation figures that are not the true reflection of the valuer's assessment. This paper set out to revisit the issue of client influence in property valuation by conducting a scoping review to establish key findings, gaps, implications and solutions.

In total, 21 articles on client influence published from 1997 till date were systematically obtained from Scopus, Web of Science, Google Scholar and through citation searching and reviewed through a “Patterns, Advances, Gaps, Evidence for practice and Research recommendations (PAGER)” framework. Further analysis and visualisation were performed using VOSviewer software.

This study found that based on the number of studies, the issue of client influence has received empirical attention, which is few and far between, with financial institutions identified as the major culprits in most of those studies. One core reason for this is the stakes involved in the finance sector, which relies on property valuation for loan disbursement and performance measurement. Furthermore, previous studies have focused on identifying the issue through the lens of the property valuer without giving recourse to the client's perspective on what may drive the issue.

This study provides evidence that the issue of client influence persists, with some elements of bias in the methodology. Furthermore, the solutions proffered have focused on the valuer and have not been tested to ascertain their effectiveness. Future studies can consider examining the issue from the perspective of financial institutions.

This study is one of the first review studies on client influence on property valuation. It is also the first to identify a pattern in client influence studies that points to the issue being perpetuated by financial institutions. Furthermore, it is the first in recent time to reveal how limited study has been conducted in the area as well as the solutions which have neither been tested nor implemented.